Jennifer Sleeman
Jennifer Sleeman
Senior AI Researcher, Johns Hopkins University Applied Physics Laboratory, Research Assistant
Verified email at - Homepage
Cited by
Cited by
Systems and methods for deep model translation generation
JP Kaufhold, JA Sleeman
US Patent 10,504,004, 2019
Robust semantic text similarity using LSA, machine learning, and linguistic resources
A Kashyap, L Han, R Yus, J Sleeman, T Satyapanich, S Gandhi, T Finin
Language Resources and Evaluation 50, 125-161, 2016
Type prediction for efficient coreference resolution in heterogeneous semantic graphs
J Sleeman, T Finin
2013 IEEE Seventh International Conference on Semantic Computing, 78-85, 2013
Topic modeling for rdf graphs
J Sleeman, T Finin, A Joshi
3rd International Workshop on Linked Data for Information Extraction, 14th …, 2015
Meerkat mafia: Multilingual and cross-level semantic textual similarity systems
AL Kashyap, L Han, R Yus, J Sleeman, TW Satyapanich, SR Gandhi, ...
Proceedings of the 8th International Workshop on Semantic Evaluation, 416-423, 2014
Entity type recognition for heterogeneous semantic graphs
J Sleeman, T Finin, A Joshi
AI Magazine 36 (1), 75-86, 2015
Computing foaf co-reference relations with rules and machine learning
J Sleeman, T Finin
Proceedings of the Third International Workshop on Social Data on the Web at …, 2010
A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning
J Sleeman, J Dorband, M Halem
Quantum information science, sensing, and computation XII 11391, 23-38, 2020
A machine learning approach to linking foaf instances
J Sleeman, T Finin
2010 AAAI Spring Symposium Series, 2010
Learning co-reference relations for FOAF instances
J Sleeman, T Finin
Proceedings of the Poster and Demonstration Session at the 9th International …, 2010
Real-time path planning for a robotic arm
K Krishnaswamy, J Sleeman, T Oates
Proceedings of the 4th International Conference on Pervasive Technologies …, 2011
A deep machine learning approach for lidar based boundary layer height detection
J Sleeman, M Halem, Z Yang, V Caicedo, B Demoz, R Delgado
IGARSS 2020-2020 IEEE international geoscience and remote sensing symposium …, 2020
Ontology-grounded topic modeling for climate science research
J Sleeman, T Finin, M Halem
arXiv preprint arXiv:1807.10965, 2018
Modeling the evolution of climate change assessment research using dynamic topic models and cross-domain divergence maps
J Sleeman, M Halem, T Finin, M Cane
2017 AAAI Spring Symposium Series, 2017
Dynamic topic modeling to infer the influence of research citations on ipcc assessment reports
J Sleeman, M Halem, T Finin, M Cane
UMBC Faculty Collection, 2016
Understanding cybersecurity threat trends through dynamic topic modeling
J Sleeman, T Finin, M Halem
Frontiers in big Data 4, 601529, 2021
Discovering scientific influence using cross-domain dynamic topic modeling
J Sleeman, M Halem, T Finin, M Cane
2017 IEEE international conference on big data (big data), 1325-1332, 2017
Fine and ultra-fine entity type embeddings for question answering
S Vallurupalli, J Sleeman, T Finin
UMBC Student Collection, 2020
Temporal understanding of cybersecurity threats
J Sleeman, T Finin, M Halem
2020 IEEE 6th Intl Conference on Big Data Security on Cloud (BigDataSecurity …, 2020
Opaque attribute alignment
J Sleeman, R Alonso, H Li, A Pope, A Badia
2012 IEEE 28th International Conference on Data Engineering Workshops, 17-22, 2012
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